python pickle

本文通过实例详细介绍了Python中Pickle模块的使用方法,包括对象序列化为文件、不同类型数据的处理过程及其性能表现。同时对比了开启和关闭协议版本对序列化效率的影响。

import pickle

import gzip

class Bird(object):

have_feather=True

way_of_reproduction="egg"

summer=Bird()

#无论dumps 还是 dump,输入的无论是(字符串还是对象) 返回的 都是types类型  

picklestring=pickle.dumps(summer) #对象转化bytes

type(picklestring)  # bytes  

with open("mmmmmmm.pkl","wb") as f:

pickle.dump(summer,f)

with open("mmmmmmm.pkl","rb") as f:

a=pickle.load(f)

obj={'a':1,"b":2,"c":3}

pickle.dump(obj,open("nnnn.pkl","wb"))

c=pickle.load(open("nnnn.pkl","rb"))

import numpy as np

a=[]

d={}

for i in range(1000000):

a.append(np.random.randint(0,255))

d["a"]=a

import time

t1=time.time()

pickle.dump(d,open("ddddd.pkl","wb"),True)

print("true,dump%.3fs"%(time.time()-t1))

t2=time.time()

pickle.dump(d,open("ddddd.pkl","wb"))

print("false,dump%.3fs"%(time.time()-t2))

t3=time.time()

pickle.load(open("ddddd.pkl","rb"),True)

print("true,load%.3fs"%(time.time()-t3))

t4=time.time()

pickle.load(open("ddddd.pkl","rb"))

print("false,load%.3fs"%(time.time()-t4))

借鉴 

https://www.cnblogs.com/DjangoBlog/p/6686745.html

https://blog.youkuaiyun.com/primeprime/article/details/52035742

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